The use of data-mining to identify indicators of health related quality of life in patients with irritable bowel syndrome

Kay Penny*, Graeme Smith

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

2 Citations (Scopus)

Abstract

Health-related quality of life can be adversely affected by irritable bowel syndrome (IBS). The aims of this study were to examine the health-related quality of life in a cohort of individuals with IBS and to determine which socio-demographic and IBS symptoms are independently associated with reduced health-related quality of life. Several data-mining models to determine which factors are associated with impaired health-related quality of life are considered in this study and include logistic regression, a classification tree and artificial neural networks. As well as severity of IBS symptoms, results indicate that psychological morbidity and socio-demographic factors such as marital status and employment status also have a major role to play.
Original languageEnglish
Title of host publicationProceedings of the ITI 2009 31st International Conference on Information Technology Interfaces
PublisherIEEE Explore
Pages87-92
DOIs
Publication statusPublished - 2009
EventInformation Technology Interfaces: 2009 - Cavtat, Croatia
Duration: 22 Jun 2009 → …
Conference number: 31

Conference

ConferenceInformation Technology Interfaces
Abbreviated titleITI
Country/TerritoryCroatia
CityCavtat
Period22/06/09 → …

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